Command R7B (12-2024) vs DeepSeek V4 Flash (Comparative Analysis)
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Comparative Analysis: Command R7B (12-2024) vs. DeepSeek V4 Flash
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Overview
Command R7B (12-2024) was released 1 year before DeepSeek V4 Flash.
 Command R7B (12-2024) |  DeepSeek V4 Flash | |
|---|---|---|
Model Provider The organization behind this AI's development | Cohere | DeepSeek |
Input Context Window Maximum input tokens this model can process at once | 128K tokens | 1M tokens |
Output Token Limit Maximum output tokens this model can generate at once | 4K tokens | Not specified tokens |
Release Date When this model first became publicly available | December 14, 2024 1 year ago December 14th, 2024 | April 24, 2026 3 months ago April 24th, 2026 |
Knowledge Cutoff Latest training-data date reported by the provider | August 31, 2024 | Not reported |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Command R7B (12-2024) | DeepSeek V4 Flash | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Not reported | OptionalEffort: Extra High, HighDefault: High |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Cohere | DeepSeek |
Key Features Advanced capabilities | Function Calling✓Structured OutputReasoning Mode✓Content Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
Command R7B (12-2024) is roughly 0.4x less expensive compared to DeepSeek V4 Flash for input tokens and roughly 0.8x less expensive for output tokens.
| Command R7B (12-2024) | DeepSeek V4 Flash | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.04 per million tokens | $0.09 per million tokens |
Output Token Cost Cost per million output tokens | $0.15 per million tokens | $0.19 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.02 per million tokens |
Benchmarks
Compare relevant benchmarks between Command R7B (12-2024) and DeepSeek V4 Flash.
| Command R7B (12-2024) | DeepSeek V4 Flash | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | Benchmark not available. | 40.3 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | Benchmark not available. | 56.2 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | Benchmark not available. | 31.1 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | Benchmark not available. | 1,254 Elo (#32 in Game Dev (50.4% win rate)) |
At a Glance
Quick overview of what makes Command R7B (12-2024) and DeepSeek V4 Flash unique.
Command R7B (12-2024) by Cohere generates structured data. It can handle standard conversations with its 128K token context window. Very affordable at $0.04/M input and $0.15/M output tokens. Includes built-in content moderation for safer outputs. Released December 14th, 2024.DeepSeek V4 Flash by DeepSeek can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 1M token context window. Very affordable at $0.09/M input and $0.19/M output tokens. Released April 24th, 2026.Explore More Comparisons
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